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Humans Require Context to Infer Ironic Intent (so Computers Probably do, too)
Byron C. Wallace
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Do Kook Choe
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Laura Kertz
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Eugene Charniak
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Paper Details:
Month: June
Year: 2014
Location: Baltimore, Maryland
Venue:
ACL |
Citations
URL
CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
Devamanyu Hazarika
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Soujanya Poria
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Sruthi Gorantla
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Erik Cambria
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Roger Zimmermann
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Rada Mihalcea
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Are Word Embedding-based Features Useful for Sarcasm Detection?
Aditya Joshi
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Vaibhav Tripathi
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Kevin Patel
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Pushpak Bhattacharyya
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Mark Carman
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Representing Social Media Users for Sarcasm Detection
Y. Alex Kolchinski
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Christopher Potts
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A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification
Ye Zhang
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Byron Wallace
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Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends’
Aditya Joshi
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Vaibhav Tripathi
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Pushpak Bhattacharyya
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Mark J. Carman
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Modelling Context with User Embeddings for Sarcasm Detection in Social Media
Silvio Amir
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Byron C. Wallace
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Hao Lyu
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Paula Carvalho
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Mário J. Silva
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A Large Self-Annotated Corpus for Sarcasm
Mikhail Khodak
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Nikunj Saunshi
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Kiran Vodrahalli
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Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment
Byron C. Wallace
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Do Kook Choe
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Eugene Charniak
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Putting Sarcasm Detection into Context: The Effects of Class Imbalance and Manual Labelling on Supervised Machine Classification of Twitter Conversations
Gavin Abercrombie
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Dirk Hovy
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Understanding Satirical Articles Using Common-Sense
Dan Goldwasser
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Xiao Zhang
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WLV at SemEval-2018 Task 3: Dissecting Tweets in Search of Irony
Omid Rohanian
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Shiva Taslimipoor
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Richard Evans
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Ruslan Mitkov
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How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature
Aditya Joshi
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Vaibhav Tripathi
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Pushpak Bhattacharyya
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Mark Carman
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Meghna Singh
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Jaya Saraswati
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Rajita Shukla
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Creating and Characterizing a Diverse Corpus of Sarcasm in Dialogue
Shereen Oraby
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Vrindavan Harrison
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Lena Reed
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Ernesto Hernandez
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Ellen Riloff
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Marilyn Walker
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‘Who would have thought of that!’: A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection
Aditya Joshi
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Prayas Jain
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Pushpak Bhattacharyya
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Mark Carman
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The Role of Conversation Context for Sarcasm Detection in Online Interactions
Debanjan Ghosh
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Alexander Richard Fabbri
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Smaranda Muresan
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https://github.com/bwallace/
https://github.com/bwallace/
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